motorola motorola razr plus 2024
Geekbench AI Score
1070
Single Precision Score
884
Half Precision Score
1463
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 07:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr plus 2024 |
| Model ID | motorola motorola razr plus 2024 |
| Motherboard | arcfox |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
100% |
2557
475.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1556
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2971
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
5233
6.21 IPS |
|
|
Object Detection (SP)
|
98% |
492
39.2 IPS |
|
|
Object Detection (HP)
|
98% |
494
39.3 IPS |
|
|
Object Detection (Q)
|
83% |
803
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (Q)
|
95% |
1743
20.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2014
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1317
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2020
18.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3336
4.33 IPS |
|
|
Style Transfer (HP)
|
89% |
5991
7.78 IPS |
|
|
Style Transfer (Q)
|
98% |
4750
6.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1068
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1179
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
414
552.9 IPS |
|
|
Text Classification (HP)
|
99% |
271
361.7 IPS |
|
|
Text Classification (Q)
|
88% |
434
585.2 IPS |
|
|
Machine Translation (SP)
|
100% |
547
9.43 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
50% |
315
11.2 IPS |
